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How Can Generative AI Be Used in Cybersecurity in 2025?

Data breaches and attacks caused losses of over $4.88 million on average in 2024 (IBM). This is why there’s a need for more robust, innovative measures, and integrating generative AI into your cybersecurity strategies can prove to be quite effective.

Cyber threats are growing in sophistication with devastating impacts. Yet even as expert security professionals are overwhelmed, promising reinforcement has arrived from an unlikely place – artificial intelligence (AI). Today AI demonstrates the ability to prevent, detect, and respond to cyberattacks better than humans can alone. It processes massive data volumes to identify threats and make proactive decisions instantly. From combatting phishing campaigns to automating penetration testing to anticipating zero-day exploits based on past patterns – AI is revolutionizing every facet of cybersecurity. Read More: Rising AI-Driven Cyberattacks – SaaS Data Protection In this blog, we’ll discuss the role of generative AI in cybersecurity, potential use cases, challenges, and key considerations. We’ll also discuss how partnering with Cubix, a trusted AI development company, can help build unique, automated cybersecurity solutions, tools, and platforms.
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